Pesin theory
An important branch of the theory of dynamical systems (cf. Dynamical system) and of smooth ergodic theory, with many applications to non-linear dynamics. The name is due to the landmark work of Ya.B. Pesin in the mid-1970{}s [a20], [a21], [a22]. Sometimes Pesin theory is also referred to as the theory of smooth dynamical systems with non-uniformly hyperbolic behaviour, or simply the theory of non-uniformly hyperbolic dynamical systems.
Introduction.
One of the paradigms of dynamical systems is that the local instability of trajectories influences the global behaviour of the system, and paves the way to the existence of stochastic behaviour. Mathematically, instability of trajectories corresponds to some degree of hyperbolicity (cf. Hyperbolic set). The "strongest possible" kind of hyperbolicity occurs in the important class of Anosov systems (also called -systems, cf.
-system) [a1]. These are only known to occur in certain manifolds. Moreover, there are several results of topological nature showing that certain manifolds cannot carry Anosov systems.
Pesin theory deals with a "weaker" kind of hyperbolicity, a much more common property that is believed to be "typical" : non-uniform hyperbolicity. Among the most important features due to hyperbolicity is the existence of invariant families of stable and unstable manifolds and their "absolute continuity" . The combination of hyperbolicity with non-trivial recurrence produces a rich and complicated orbit structure. The theory also describes the ergodic properties of smooth dynamical systems possessing an absolutely continuous invariant measure in terms of the Lyapunov exponents. One of the most striking consequences is the Pesin entropy formula, which expresses the metric entropy of the dynamical system in terms of its Lyapunov exponents.
Non-uniform hyperbolicity.
Let be a diffeomorphism of a compact manifold. It induces the discrete dynamical system (or cascade) composed of the powers
. Fix a Riemannian metric on
. The trajectory
of a point
is called non-uniformly hyperbolic if there are positive numbers
and splittings
for each
, and if for all sufficiently small
there is a positive function
on the trajectory such that for every
:
1) ;
2) ,
;
3) if and
, then
![]() |
4) if and
, then
![]() |
5) .
(The indices "s" and "u" refer, respectively, to "stable" and "unstable" .) The definition of non-uniformly partially hyperbolic trajectory is obtained by replacing the inequality by the weaker requirement that
and
.
If (respectively,
and
) and the conditions 1)–5) hold for
(i.e., if one can choose
), the trajectory is called uniformly hyperbolic (respectively, uniformly partially hyperbolic).
The term "non-uniformly" means that the estimates in 3) and 4) may differ from the "uniform" estimates and
by at most slowly increasing terms along the trajectory, as in 1) (in the sense that the exponential rate
in 1) is small in comparison to the number
); the term "partially" means that the hyperbolicity may hold only for a part of the tangent space.
One can similarly define the corresponding notions for a flow (continuous-time dynamical system) with replaced by
, and the splitting of the tangent spaces replaced by
, where
is the one-dimensional subspace generated by the flow direction.
Stable and unstable manifolds.
Let be a non-uniformly partially hyperbolic trajectory of a
-diffeomorphism (
). Assume that
. Then there is a local stable manifold
such that
,
, and for every
,
, and
,
![]() |
where is the distance induced by the Riemannian metric and
is a positive constant. The size
of
can be chosen in such a way that
for every
, where
is a positive constant. If
(
), then
is of class
.
The global stable manifold of at
is defined by
; it is an immersed manifold with the same smoothness class as
. One has
if
,
if
, and
for every
. The manifold
is independent of the particular size of the local stable manifolds
.
Similarly, when one can define a local (respectively, global) unstable manifold as a local (respectively, global) stable manifold of
.
Non-uniformly hyperbolic dynamical systems and dynamical systems with non-zero Lyapunov exponents.
Let be a diffeomorphism and let
be a (finite) Borel
-invariant measure (cf. also Invariant measure). One calls
non-uniformly hyperbolic (respectively, non-uniformly partially hyperbolic) with respect to the measure
if the set
of points whose trajectories are non-uniformly hyperbolic (respectively, non-uniformly partially hyperbolic) is such that
. In this case
,
,
, and
are replaced by measurable functions
,
,
, and
, respectively.
The set is
-invariant, i.e., it satisfies
. Therefore, one can always assume that
when
; this means that if
, then the measure
on
defined by
is
-invariant and
.
For , one defines the forward upper Lyapunov exponent of
(with respect to
) by
![]() | (a1) |
for each , and
. For every
, there exist a positive integer
(the dimension of
) and collections of numbers
and linear subspaces
such that for every
,
![]() |
and if , then
.
The numbers are called the values of the forward upper Lyapunov exponent at
, and the collection of linear subspaces
is called the forward filtration at
associated to
. The number
is the forward multiplicity of the exponent
. One defines the forward spectrum of
at
as the collection of pairs
for
. Let
be the values of the forward upper Lyapunov exponent at
counted with multiplicities, i.e., in such a way that the exponent
appears exactly a number
of times. The functions
and
, for
, are measurable and
-invariant with respect to any
-invariant measure.
One defines the backward upper Lyapunov exponent of (with respect to
) by an expression similar to (a1), with
replaced by
, and considers the corresponding backward spectrum.
A Lyapunov-regular trajectory (see, for example, [a3], Sect. 2) is non-uniformly hyperbolic (respectively, non-uniformly partially hyperbolic) if and only if
for all
(respectively,
for some
). For flows, a Lyapunov-regular trajectory is non-uniformly hyperbolic if and only if
for all
.
The multiplicative ergodic theorem of V. Oseledets [a19] implies that -almost all points of
belong to a Lyapunov-regular trajectory. Therefore, for a given diffeomorphism, one has
for all
(respectively
for some
) on a set of positive
-measure if and only if the diffeomorphism is non-uniformly hyperbolic (respectively, non-uniformly partially hyperbolic). Hence, the non-uniformly hyperbolic diffeomorphisms (with respect to the measure
) are precisely the diffeomorphisms with non-zero Lyapunov exponents (on a set of positive
-measure).
Furthermore, for -almost every
there exist subspaces
, for
, such that for every
one has
,
![]() |
for every , and if
, then
![]() |
Pesin sets.
To a non-uniformly partially hyperbolic diffeomorphism one associates a filtration of measurable sets (not necessarily invariant) on which the estimates 3)–5) are uniform.
Let be a non-uniformly hyperbolic diffeomorphism and let
. Given
, one defines the measurable set
by
![]() |
One has when
, and
. Each set
is closed but need not be
-invariant; for every
and
there exists an
such that
. The distribution
is, in general, only measurable on
but it is continuous on
. The local stable manifolds
depend continuously on
and their sizes are uniformly bounded below on
. Each set
is called a Pesin set.
One similarly defines Pesin sets for arbitrary non-uniformly partially hyperbolic diffeomorphisms.
Lyapunov metrics and regular neighbourhoods.
Let be the Riemannian metric on
. For each fixed
and every
, one defines a Lyapunov metric on
by
![]() |
for each . One extends this metric to
by declaring orthogonal the subspaces
for
. The metric
is continuous on
. The sequence of weights
is called a Pesin tempering kernel. Any linear operator
on
such that
![]() |
is called a Lyapunov change of coordinates.
There exist a measurable function satisfying
, and for each
a collection of imbeddings
, defined on the ball
by
, such that if
, then:
1) the derivative of
at the point
has the Lyapunov block form
![]() |
where each is an invertible linear operator between the
-dimensional spaces
and
, for
;
2) for each ,
![]() |
3) the -distance between
and
on the ball
is at most
;
4) there exist a constant and a measurable function
satisfying
such that for every
,
![]() |
The function is bounded on each
. The set
is called a regular neighbourhood of the point
.
Absolute continuity.
A property playing a crucial role in the study of the ergodic properties of (uniformly and non-uniformly) hyperbolic dynamical systems is the absolute continuity of the families of stable and unstable manifolds. It allows one to pass from the local properties of the system to the study of its global behaviour.
Let be an absolutely continuous
-invariant measure, i.e., an
-invariant measure that is absolutely continuous with respect to Lebesgue measure (cf. Absolute continuity). For each
and
there exists a neighbourhood
of
with size depending only on
and with the following properties (see [a21]). Choose
. Given two smooth manifolds
transversal to the local stable manifolds in
, one defines
![]() |
for . Let
be the correspondence that takes
to the point
such that
for some
. If
is the measure induced on
by the Riemannian metric, for
, then
is absolutely continuous with respect to
(if
is sufficiently large, then
for
).
This result has the following consequences (see [a21]). For each measurable set , let
be the union of all the sets
such that
and
. The partition of
into the submanifolds
is a measurable partition (also called measurable decomposition), and the corresponding conditional measure of
on
is absolutely continuous with respect to the measure
induced on
by the Riemannian metric, for each
such that
. In addition,
for
-almost all
, and the measure
on
defined for each measurable set
by
, is absolutely continuous with respect to
.
Smooth ergodic theory.
Let be a non-uniformly hyperbolic
-diffeomorphism (
) with respect to a Sinai–Ruelle–Bowen measure
, i.e., an
-invariant measure
that has a non-zero Lyapunov exponent
-almost everywhere and has absolutely continuous conditional measures on stable (or unstable) manifolds with respect to Lebesgue measure (in particular, this holds if
is absolutely continuous with respect to Lebesgue measure and has no zero Lyapunov exponents [a21]; see also above: "Absolute continuity" ). Then there is at most a countable number of disjoint
-invariant sets
(the ergodic components) such that [a21], [a11]:
1) ,
, and
and
is ergodic (see Ergodicity) with respect to
for every
;
2) each set is a disjoint union of sets
such that
for each
, and
;
3) for every and
, there is a metric isomorphism between
and a Bernoulli automorphism (in particular, the mapping
is a
-system).
If is an absolutely continuous
-invariant measure and the foliation
(or
) of
is
-continuous (i.e., for each
there is a neighbourhood of
in
that is the image of an injective
-mapping
, defined on the ball with centre at
and of radius
, and the mapping
from
into the family of
-mappings is continuous), then any ergodic component of positive
-measure is an open set (mod
); if, in addition,
is topologically transitive (cf. Topological transitivity; Chaos), then
is ergodic [a21].
If is ergodic, then for Lebesgue-almost-every point
and every continuous function
, one has
![]() |
There is a measurable partition of
with the following properties:
1) for -almost every
, the element
containing
is an open subset (mod
) of
;
2) is a refinement of
, and
is the partition of
into points;
3) coincides with the measurable hull of
, as well as with the maximal partition with zero entropy (the
-partition for
; see Entropy of a measurable decomposition);
4) (cf. Entropy theory of a dynamical system).
Pesin entropy formula.
For a -diffeomorphism (
)
of a compact manifold and an absolutely continuous
-invariant probability measure
, the metric entropy
of
with respect to
is given by the Pesin entropy formula [a21]
![]() | (a2) |
where and
form the forward spectrum of
at
.
For a -diffeomorphism
of a compact manifold and an
-invariant probability measure
, the Ruelle inequality holds [a25]:
![]() | (a3) |
An important consequence of (a3) is that any -diffeomorphism with positive topological entropy has an
-invariant measure with at least one positive and one negative Lyapunov exponent; in particular, for surface diffeomorphisms there is an
-invariant measure with every exponent non-zero. For arbitrary invariant measures the inequality (a3) may be strict [a7].
The formula (a2) was first established by Pesin in [a21]. A proof which does not use the theory of invariant manifolds and absolute continuity was given by R. Mañé [a17]. For -diffeomorphisms, (a2) holds if and only if
has absolutely continuous conditional measures on unstable manifolds [a13], [a12].
The formula (a2) has been extended to mappings with singularities [a12]. For -diffeomorphisms and arbitrary invariant measures, results of F. Ledrappier and L.-S. Young [a14] show that the possible defect between the left- and right-hand sides of (a3) is due to the defects between
and the Hausdorff dimension of
"in the direction of Eix" for each
.
Hyperbolic measures.
Let be a
-diffeomorphism (
) and let
be an
-invariant measure. One says that
is hyperbolic (with respect to
) if
for
-almost every
and all
. The measure
is hyperbolic (with respect to
) if and only if
is non-uniformly hyperbolic with respect to
(and the set
has full
-measure). The fundamental work of A. Katok has revealed a rich and complicated orbit structure for diffeomorphisms possessing a hyperbolic measure.
Let be a hyperbolic measure. The support of
is contained in the closure of the set of periodic points. If
is ergodic and not concentrated on a periodic orbit, then [a7], [a9]:
1) the support of is contained in the closure of the set of hyperbolic periodic points possessing a transversal homoclinic point;
2) for every there exists a closed
-invariant hyperbolic set
such that the restriction of
to
is topologically conjugate to a topological Markov chain with topological entropy
, i.e., the entropy of a hyperbolic measure can be approximated by the topological entropies of invariant hyperbolic sets.
If possesses a hyperbolic measure, then
satisfies a closing lemma: given
, there exists a
such that for each
and each integer
satisfying
and
, there exists a point
such that
,
for every
, and
is a hyperbolic periodic point [a7]. The diffeomorphism
also satisfies a shadowing lemma (see [a9]) and a Lifschitz-type theorem [a9]: if
is a Hölder-continuous function (cf. Hölder condition) such that
for each periodic point
with
, then there is a measurable function
such that
for
-almost every
.
Let be the number of periodic points of
with period
. If
possesses a hyperbolic measure or is a surface diffeomorphism, then
![]() |
where is the topological entropy of
[a7].
Let be a hyperbolic ergodic measure. L.M. Barreira, Pesin and J. Schmeling [a2] have shown that there is a constant
such that for
-almost every
,
![]() |
where is the ball in
with centre at
and of radius
(this claim was known as the Eckmann–Ruelle conjecture); this implies that the Hausdorff dimension of
and the lower and upper box dimensions of
coincide and are equal to
(see [a2]). Ledrappier and Young [a14] have shown that if
(respectively,
) are the conditional measures of
with respect to the stable (respectively, unstable) manifolds, then there are constants
and
such that for
-almost every
,
![]() |
![]() |
where (respectively,
) is the ball in
(respectively,
) with centre at
and of radius
. Moreover,
[a2] and
has an "almost product structure" (see [a2]).
Criteria for having non-zero Lyapunov exponents.
Above it has been shown that non-uniformly hyperbolic dynamical systems possess strong ergodic properties, as well as many other important properties. Therefore, it is of primary interest to have verifiable methods for checking the non-vanishing of Lyapunov exponents.
The following Katok–Burns criterion holds: A real-valued measurable function on the tangent bundle
is called an eventually strict Lyapunov function if for
-almost every
:
1) the function is continuous, homogeneous of degree one and takes both positive and negative values;
2) the maximal dimensions of the linear subspaces contained, respectively, in the sets and
are constants
and
, and
is the dimension of
;
3) for all
;
4) there exists a positive integer such that for all
,
![]() |
![]() |
If possesses an eventually strict Lyapunov function, then there exist exactly
positive Lyapunov exponents and
negative ones [a8] (see also [a28]).
Another method to estimate the Lyapunov exponents was presented in [a6].
Generalizations.
There are several natural and important generalizations of Pesin theory. Examples of these are: generalizations to non-invertible mappings; extensions of the main results of Pesin's work to mappings with singularities [a10], including billiard systems and other physical models; infinite-dimensional versions of results on stable and unstable manifolds in Hilbert spaces [a27] and Banach spaces [a18], given certain compactness assumptions; some results have been extended to random mappings [a15].
Related results have been obtained for products of random matrices (see [a5] and the references therein).
References
[a1] | D. Anosov, "Geodesic flows on closed Riemann manifolds with negative curvature" Proc. Steklov Inst. Math. , 90 (1969) (In Russian) |
[a2] | L. Barreira, Ya. Pesin, J. Schmeling, "On the pointwise dimension of hyperbolic measures: A proof of the Eckmann–Ruelle conjecture" Electronic Research Announc. Amer. Math. Soc. , 2 (1996) |
[a3] | I. Cornfeld, Ya. Sinai, "Basic notions of ergodic theory and examples of dynamical systems" Ya. Sinai (ed.) , Dynamical Systems II , Encycl. Math. Sci. , 2 , Springer (1989) pp. 2–27 (In Russian) |
[a4] | A. Fathi, M. Herman, J. Yoccoz, "A proof of Pesin's stable manifold theorem" J. Palis (ed.) , Geometric Dynamics , Lecture Notes in Mathematics , 1007 , Springer (1983) pp. 177–215 |
[a5] | I. Goldsheid, G. Margulis, "Lyapunov exponents of a product of random matrices" Russian Math. Surveys , 44 (1989) pp. 11–71 (In Russian) |
[a6] | M. Herman, "Une méthode pour minorer les exposants de Lyapunov et quelques examples montrant le caractére local d'un théorèm d'Arnold et de Moser sur le tore de dimension ![]() |
[a7] | A. Katok, "Lyapunov exponents, entropy and periodic orbits for diffeomorphisms" IHES Publ. Math. , 51 (1980) pp. 137–173 |
[a8] | A. Katok, K. Burns, "Infinitesimal Lyapunov functions, invariant cone families and stochastic properties of smooth dynamical systems" Ergodic Th. Dynamical Systems , 14 (1994) pp. 757–785 |
[a9] | A. Katok, L. Mendoza, "Dynamical systems with nonuniformly hyperbolic behavior" A. Katok (ed.) B. Hasselblatt (ed.) , Introduction to the Modern Theory of Dynamical Systems , Cambridge Univ. Press (1995) |
[a10] | A. Katok, J.-M. Strelcyn, "Invariant manifolds, entropy and billiards; smooth maps with singularities" , Lecture Notes in Mathematics , 1222 , Springer (1986) (with the collaboration of F. Ledrappier and F. Przytycki) |
[a11] | F. Ledrappier, "Propriétés ergodiques des mesures de Sinaï" IHES Publ. Math. , 59 (1984) pp. 163–188 |
[a12] | F. Ledrappier, J.-M. Strelcyn, "A proof of the estimate from below in Pesin's entropy formula" Ergodic Th. Dynamical Systems , 2 (1982) pp. 203–219 |
[a13] | F. Ledrappier, L.-S. Young, "The metric entropy of diffeomorphisms I. Characterization of measures satisfying Pesin's entropy formula" Ann. of Math. (2) , 122 (1985) pp. 509–539 |
[a14] | F. Ledrappier, L.-S. Young, "The metric entropy of diffeomorphisms. II. Relations between entropy, exponents and dimension" Ann. of Math. (2) , 122 (1985) pp. 540–574 |
[a15] | P.-D. Liu, M. Qian, "Smooth ergodic theory of random dynamical systems" , Lecture Notes in Mathematics , 1606 , Springer (1995) |
[a16] | C. Liverani, M. Wojtkowski, "Ergodicity in Hamiltonian systems" , Dynamics Reported Expositions in Dynamical Systems (N.S.) , 4 , Springer (1995) pp. 130–202 |
[a17] | R. Mané, "A proof of Pesin's formula" Ergodic Th. Dynamical Systems , 1 (1981) pp. 95–102 (Errata: 3 (1983), 159–160) |
[a18] | R. Mané, "Lyapunov exponents and stable manifolds for compact transformations" J. Palis (ed.) , Geometric Dynamics , Lecture Notes in Mathematics , 1007 , Springer (1983) pp. 522–577 |
[a19] | V. Oseledets, "A multiplicative ergodic theorem. Liapunov characteristic numbers for dynamical systems" Trans. Moscow Math. Soc. , 19 (1968) pp. 197–221 (In Russian) |
[a20] | Ya. Pesin, "Families of invariant manifolds corresponding to nonzero characteristic exponents" Math. USSR Izv. , 10 (1976) pp. 1261–1305 (In Russian) |
[a21] | Ya. Pesin, "Characteristic exponents and smooth ergodic theory" Russian Math. Surveys , 32 (1977) pp. 55–114 (In Russian) |
[a22] | Ya. Pesin, "Geodesic flows on closed Riemannian manifolds without focal points" Math. USSR Izv. , 11 (1977) pp. 1195–1228 (In Russian) |
[a23] | Ya. Pesin, "General theory of smooth hyperbolic dynamical systems" Ya. Sinai (ed.) , Dynamical Systems II , Encycl. Math. Sci. , 2 , Springer (1989) pp. 108–151 (In Russian) |
[a24] | C. Pugh, M. Shub, "Ergodic attractors" Trans. Amer. Math. Soc. , 312 (1989) pp. 1–54 |
[a25] | D. Ruelle, "An inequality for the entropy of differentiable maps" Bol. Soc. Brasil. Mat. , 9 (1978) pp. 83–87 |
[a26] | D. Ruelle, "Ergodic theory of differentiable dynamical systems" IHES Publ. Math. , 50 (1979) pp. 27–58 |
[a27] | D. Ruelle, "Characteristic exponents and invariant manifolds in Hilbert space" Ann. of Math. (2) , 115 (1982) pp. 243–290 |
[a28] | M. Wojtkowski, "Invariant families of cones and Lyapunov exponents" Ergodic Th. Dynamical Systems , 5 (1985) pp. 145–161 |
Pesin theory. Encyclopedia of Mathematics. URL: http://encyclopediaofmath.org/index.php?title=Pesin_theory&oldid=14695